DataTrained’s Post

I get a lot of questions about how to go from zero to becoming an Data Engineer. It's a wide topic which I think a new video is called for. In the meantime, if you are interested in this subject, this video may be helpful. Please share and like. #dataengineering #etl #training #tutorial https://lnkd.in/eZHVeBcQ

The role of Data Engineer can be quite confusing, especially to newcomers to the tech industry. If you are ever in need of a reminder where they fit in within the larger tech industry, you can use my diagram below. Please note that this is an over simplification meant for teaching purposes so please do not use this when creating your org chart ;) Hope you're having a great weekend! #dataengineer #datascience #data #dataengineeringrole

The Rise of the Data Scientist The Rise of the Data Engineer The Rise of the Analytics Engineer The Rise of the Analytics... Pretendgeneer? Benn Stancil What is next? Data Product Management? Something else? Check it here: https://lnkd.in/eCE3TmP9 #dataengineering #data #orchestration

In our latest blog, we dive into the key differences between Data Engineers and Data Scientists. Data engineers build the infrastructure that powers data processing, while data scientists extract valuable insights to inform business decisions. Together, they form the backbone of a successful data ecosystem. Check it out to learn more! Credits - Amanpreet Singh Bhogal #Thinknyx #DataEngineers #DataScientists #DataAnalytics #BusinessInsights #Tech #DataEcosystem

Data Engineering: The Backbone of Big Data Data Engineers are the unsung heroes of the data world! They build and maintain the complex systems that power data-driven decisions. From designing data pipelines to optimizing data storage, they ensure data flows smoothly and efficiently. Let's appreciate the crucial role of data engineers in transforming raw data into actionable insights. #dataengineering #bigdata #datascience

🚀 **Sharing the Ultimate Data Engineer Roadmap!** 🌐 I'm excited to share with you the best roadmap to becoming a Data Engineer. Whether you're just starting out or looking to upskill, this guide will walk you through all the essentials to excel in this field. Let's dive into the world of data and build a strong foundation together! 📊💻 Feel free to share your thoughts or ask any questions—I'm here to help. #DataEngineering #TechRoadmap #CareerDevelopment #Learning #TechCommunity

🚀 Thrilled to be recognized as a LinkedIn Top Voice in Data Engineering! 🚀 In Data Engineering, it’s all about building robust, scalable systems that turn raw data into actionable insights. Every step is crucial in driving meaningful business outcomes, from architecting data pipelines to ensuring data integrity. Passionate about pushing the envelope in data engineering, I'm excited to share my journey and learn from others in this vibrant community. Let’s connect and advance the art of data together! #DataEngineering #DataDriven #LinkedInTopVoice

🌐 Tired of sifting through chaos online? 🚀 I’ve simplified your journey to becoming a Data Engineer! Here’s the ultimate roadmap that’ll set you up for success in the booming data industry. Get ready to unlock your potential and master the skills that top companies are looking for! 💪✨ #BigData #DataEngineering #DataAnalytics #MachineLearning #ArtificialIntelligence #DataVisualization #DataDriven #DataManagement #BusinessIntelligence #DataStrategy #CloudComputing #DataMining #DataQuality #DataArchitecture

Data engineers are the backbone of any data-driven organization, responsible for building, maintaining, and scaling data infrastructure. As data volumes and complexity continue to grow, data engineers need the right tools to work efficiently and effectively. In this post, we'll explore four essential data engineering tools that can help you streamline your workflows, improve productivity, and deliver high-quality data solutions. #dataengineering #bigdata #datascience #datatools #educationtechnology #professionaldevelopment

Discover the crucial role of data engineers in our data-driven world! 🌐 Every day, a staggering 330 terabytes of data is generated. But how does all this data get managed and utilized? In this video, we dive into the essential work of data engineers who ensure that this massive influx of data is seamlessly transferred, stored, and made accessible for data scientists and analysts. Learn how these professionals create the infrastructure that powers powerful insights and predictions. 🔍 What You'll Learn: * The daily responsibilities of a data engineer * How data is managed and stored * The importance of data engineers in generating meaningful insights * Real-world applications and the impact of their work #SUPER30dataanalyticsprogram #dataengineeringinterview #super30 #artofproblemsolving #dataengineering